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Materialized Tables in Apache Flink

Quality: 8/10 Relevance: 9/10

Summary

The article provides a detailed look at Materialized Tables in Apache Flink, explaining how DDL and DML can be combined, comparing Materialized Tables with CREATE TABLE/INSERT and CREATE TABLE...AS SELECT, and covering lifecycle management, schema evolution, pause/resume, and partitioning. It includes practical examples using test-filesystem and upsert-kafka connectors, discusses default behaviors and pitfalls (like scheduling), and offers guidance for production considerations.

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